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Communication Papers of the 18th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 37

The Use of AI to Determine the Condition of Corn in a Field Robot that Meets the Requirements of Precision Farming

DOI: http://dx.doi.org/10.15439/2023F3649

Citation: Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 37, pages 319–327 ()

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Abstract. Artificial intelligence helps to solve numerous problems in modern science and technology. AI-based image recognition allows the detection of specific features. One of the fields that uses AI-based image recognition is precision agriculture. The purpose of the solutions described in this article was to create a system based on artificial intelligence methods and use it in a real project. The article describes the methodology and results of work on tasks related to detection and recognition of corn growth stages, corn hydration levels, and detection and recognition of healthy corn and pathogen-infested corn. Details of the implementation, results and their usefulness for determining selected parameters of corn condition are presented. The developed system makes it possible to monitor the condition of corn, and can be extended to other crops in the future. The presented solution meets the requirements of precision agriculture and is in line with the idea of agriculture 4.0.

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